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participate in field research (through surveys, interviews, observations) Conduct qualitative and quantitative empirical analyses. Experience in coding of qualitative data will be a strong asset. Collaborate on
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communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration with
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spatial movement data using your own code, and experience with quantitative acoustic analyses is an advantage. You must have strong English skills both orally and in writing. Who we are The Center
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transformation, algorithm engineering. Applications of these areas to systems chemistry, systems biology, metabolic networks, or microbial communities is an advantage but not a must. Solid competences in
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administrative data and identify the role of social power in the redistribution of income shares among salient social groups (e.g. workers, managers, owners and founders) drawing, for example, on elite network
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collaboration. We also provide active support for developing courses, securing research funding (Danish and EU), and building a strong professional and academic network. Responsibilities You will co-lead the
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can international regulatory and reporting standards reflect the actual environmental damage from AI use? What networks have been formed to influence regulation? How can we identify the ‘real cost
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imaging, especially in vivo imaging Coding experience in Matlab, Python or R Record of first-author publications or preprints Success in competitive funding schemes/awards Experience with inflammatory
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the overarching research topic, in particular: Which types of firms and industries are early adopters of AI for innovation activities and how does it affect innovation processes, goals, networks and/or outcomes
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and web hybrid applications (apps), which integrate web technologies, such as JavaScript, with native code on platforms like Android or iOS. These systems are now extensively used across critical